Triple
T29476982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Bowl XLVII halftime show |
E747675
|
entity |
| Predicate | sportEventOf |
P125200
|
FINISHED |
| Object | National Football League |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: National Football League | Statement: [Super Bowl XLVII halftime show, sportEventOf, National Football League]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportEventOf Context triple: [Super Bowl XLVII halftime show, sportEventOf, National Football League]
-
A.
sportEvent
Indicates a relationship where an entity is involved in, associated with, or characterizes a competitive or organized sporting event.
-
B.
sportEventType
Indicates the specific kind or category of sport associated with a given sporting event.
-
C.
sportsAttraction
Indicates a relationship where an entity serves as a venue, site, or draw specifically for sports-related activities or events.
-
D.
sportingEventAssociatedWith
chosen
Indicates that there is a relevant connection or involvement between a sporting event and another entity (such as a person, team, organization, or place).
-
E.
sportEventTypeOrganized
Indicates that an entity organizes or is responsible for arranging a specific type of sports event.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f0bd42cf308190bb01b20bc5b7c2d0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f68a16debc8190a12f5f65ced055d7 |
completed | May 2, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 28, 2026, 4:01 p.m.